Designing for the infrastructures of everyday life
Summary
In this talk I'll describe how everyday technologies, digital and physical combined, define how we live together; how they tend to articulate what we stand for as a society, or how our cities work — and what's on the table now. Drawing together inspiring projects and cases ranging from Norway to Japan, and from new cities to reimagined regions, I'll suggest how we might align design practices in order to address our contemporary shared challenges, like climate breakdown, social cohesion, and sweeping demographic changes. As AI moves beyond shuffling playlists or improving grammar and starts coordinating mobility, energy, and water systems, or how housing is allocated or buildings are made, we must rapidly figure out how design, governance, and community best understand and take advantage of these new distributed, decentralised and collaborative technologies. In doing so, we might well challenge our preconceptions of technology, economy, and community themselves.
Key Insights
-
•
Technology like cars has irreversibly shaped urban sprawl and city form, often with negative health and environmental outcomes.
-
•
AI’s progress is gradual then sudden, necessitating proactive systemic design before widespread adoption.
-
•
Design must consider multiple interconnected scales: individual, service, city, region, and global.
-
•
Effective AI design requires balancing technical optimization with broader social, cultural, and environmental contexts.
-
•
Soft eyes—the ability to zoom between detailed instances and larger systems—is a crucial skill for designers integrating AI.
-
•
Current AI and digital platforms, like ride sharing, often worsen urban problems by incentivizing more cars, despite individual convenience.
-
•
Systemic containment and participatory governance are vital to handle AI’s influence on critical infrastructures like mobility and energy.
-
•
Design can amplify social fabric, as demonstrated by Oslo’s bike sharing scheme involving prisoner rehabilitation, linking social justice with infrastructure.
-
•
Resource constraints for green technologies, like electrification and batteries, highlight the need for AI to optimize sustainable material use.
-
•
Cultural imagination techniques, including speculative design and fiction, help anticipate AI’s broader societal impacts beyond technical solutions.
Notable Quotes
"Technology affects cities directly and profoundly, shaping how we live, work, and play."
"The car is probably one of the most negative technologies we’ve introduced at scale."
"When asked how he went bankrupt, he said in two ways: gradually and then suddenly — that’s how technology evolves."
"Design is not really about problem solving; it’s about cultural imagination."
"Can we build AI systems that foreground social fabric and enable civil conversations around shared resources?"
"Soft eyes means zooming between the instance and the system, between the tree and the forest."
"We need distributed, shared, and participatory technologies for common good outcomes."
"If we don’t design AI thoughtfully now, it will be too late when it suddenly hits us."
"Designing a chair means considering its next larger context: the room, the house, the environment."
"Culture, fiction, and art allow us to rehearse and imagine dangerous or extreme futures safely before they happen."
Or choose a question:
More Videos
"Tech workers in the UK are five times more depressed than the UK average, with stress killing creativity."
Dr. Karl JeffriesThe Science of Creativity for DesignOps
January 8, 2024
"The culture between buyer and user impacts feature adoption and overall satisfaction."
Amy MarquezINVEST: Discussion
June 15, 2018
"Pilot projects with evangelists inside the company make ethnography manageable and successful."
Steve Portigal Chris Chapo Kelly Goto Christian RohrerDiscussion
May 13, 2015
"Agency style staffing allows designers to bring learnings across multiple projects and grow through new challenges."
Alicia MootyDesign Staffing Models
September 30, 2021
"For the right audience, if applied correctly, humor and music can move people in many ways."
Ana Maria Montero Barrantes Aditi Dhar Michelle Kaplan Nate Osborne Matt LaurenceThe Authentic UX Talent Show
January 8, 2024
"The ultimate measure is bringing value so people invite you back to work with them again and again."
Lada Gorlenko Sharbani Dhar Sébastien Malo Rob Mitzel Ivana Ng Michal Anne RogondinoTheme 1: Discussion
January 8, 2024
"Research isn’t linear; it’s messy and modular, so your tools have to reflect that fluidity."
Sofia QuinteroThe Product Philosophy Behind EnjoyHQ
March 10, 2021
"Innovation is very much a team sport."
Laura KleinUnique challenges of innovation in enterprises
April 23, 2020
"Typically, data analytics teams are big and well-funded, while UX research teams are smaller and struggle for resources."
Andrew MichaelBuilding a Product Insights Team
March 10, 2022